
Sensormatic Solutions will showcase a suite of its latest AI and machine-learning (ML) solutions to help retailers enhance CX, improve store operations and reduce shrink at NRF 2025: Retail’s Big Show Europe.
The first-ever NRF Europe will take place at Paris Expo Porte de Versailles between 16 – 18 September 2025, bringing together leading global retailers and tech innovators. Featuring over 480+ technology providers on its exhibition floor, NRF Europe will also welcome over 100 international brand leaders to the stage on its conference programme across the three-day event.
Exhibiting on Stand #E124 in Hall 6, Sensormatic will highlight some of its most recent proprietary innovations, alongside third-party solutions that are now available as part of its ecosystem.
“Sensormatic Solutions has always been committed to working in close collaboration with retailers and technology partners to ensure we can to address the industry’s most pressing challenges,” said Tony D’Onofrio, President of Sensormatic Solutions.
“The solutions on display at NRF Europe 2025 are a testament to that commitment. We’re giving businesses the tools they need to redefine retail today and beyond.”
Tony D’Onofrio, President, Sensormatic Solutions
One of Sensormatic’s standout innovations on the booth will be Shrink Analyzer, a solution that helps retailers strengthen their loss prevention (LP) programmes. Enhancing theft analysis, it uses ML to continuously improve loss event identification accuracy, accelerate evidence-building processes and support early detection and remediation.
Sensormatic will also demonstrate new enhanced retail traffic analytic capabilities with Re-ID technology. New people-counting devices enabled with Re-Identification (Re-ID), leverage advanced deep-learning and AI to offer powerful insights into shopper behaviour in-store. Tracking demographics, abandonment rates, shopper-only conversion rates and dwell times, it gives retailers previously unseen movement patterns and insights into their stores to improve performance.





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